





"""simple docstring"""





import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE__   =  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   =  {"vocab_file": "sentencepiece.bpe.model"}

SCREAMING_SNAKE_CASE__   =  {
    "vocab_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model",
    }
}

SCREAMING_SNAKE_CASE__   =  {
    "camembert-base": 512,
}

SCREAMING_SNAKE_CASE__   =  "▁"

class 						lowercase   (   _UpperCAmelCase   ):
      _SCREAMING_SNAKE_CASE							      = VOCAB_FILES_NAMES
      _SCREAMING_SNAKE_CASE							      = PRETRAINED_VOCAB_FILES_MAP
      _SCREAMING_SNAKE_CASE							      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _SCREAMING_SNAKE_CASE							      = ['input_ids', 'attention_mask']





      def __init__(			self ,		lowercase ,		lowercase="<s>" ,		lowercase="</s>" ,		lowercase="</s>" ,		lowercase="<s>" ,		lowercase="<unk>" ,		lowercase="<pad>" ,		lowercase="<mask>" ,		lowercase=["<s>NOTUSED", "</s>NOTUSED"] ,		lowercase = None ,		**lowercase ,		)						->	None:
            # Mask token behave like a normal word, i.e. include the space before it
            lowerCAmelCase    		=			AddedToken(lowercase ,		lstrip=lowercase ,		rstrip=lowercase					) if isinstance(lowercase ,		lowercase					) else mask_token

            lowerCAmelCase    		=			{} if sp_model_kwargs is None else sp_model_kwargs

            super().__init__(
                bos_token=lowercase ,		eos_token=lowercase ,		unk_token=lowercase ,		sep_token=lowercase ,		cls_token=lowercase ,		pad_token=lowercase ,		mask_token=lowercase ,		additional_special_tokens=lowercase ,		sp_model_kwargs=self.sp_model_kwargs ,		**lowercase ,		)
            lowerCAmelCase    		=			spm.SentencePieceProcessor(**self.sp_model_kwargs					)
            self.sp_model.Load(str(lowercase					)					)
            lowerCAmelCase    		=			vocab_file
            # HACK: These tokens were added by fairseq but don't seem to be actually used when duplicated in the actual
            # sentencepiece vocabulary (this is the case for <s> and </s>
            lowerCAmelCase    		=			{"""<s>NOTUSED""": 0, """<pad>""": 1, """</s>NOTUSED""": 2, """<unk>""": 3}
            lowerCAmelCase    		=			len(self.fairseq_tokens_to_ids					)
            lowerCAmelCase    		=			len(self.sp_model					) + len(self.fairseq_tokens_to_ids					)
            lowerCAmelCase    		=			{v: k for k, v in self.fairseq_tokens_to_ids.items()}





      def        _snake_case     (			self ,		lowercase ,		lowercase = None					)						->	List[int]:

            if token_ids_a is None:
                  return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            lowerCAmelCase    		=			[self.cls_token_id]
            lowerCAmelCase    		=			[self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep





      def        _snake_case     (			self ,		lowercase ,		lowercase = None ,		lowercase = False					)						->	List[int]:
            if already_has_special_tokens:
                  return super().get_special_tokens_mask(
                      token_ids_a=lowercase ,		token_ids_a=lowercase ,		already_has_special_tokens=lowercase					)

            if token_ids_a is None:
                  return [1] + ([0] * len(lowercase					)) + [1]
            return [1] + ([0] * len(lowercase					)) + [1, 1] + ([0] * len(lowercase					)) + [1]





      def        _snake_case     (			self ,		lowercase ,		lowercase = None					)						->	List[int]:
            lowerCAmelCase    		=			[self.sep_token_id]
            lowerCAmelCase    		=			[self.cls_token_id]

            if token_ids_a is None:
                  return len(cls + token_ids_a + sep					) * [0]
            return len(cls + token_ids_a + sep + sep + token_ids_a + sep					) * [0]





      @property
      def        _snake_case     (			self					)						->	Union[str, Any]:
            return len(self.fairseq_tokens_to_ids					) + len(self.sp_model					)





      def        _snake_case     (			self					)						->	Optional[Any]:
            lowerCAmelCase    		=			{self.convert_ids_to_tokens(lowercase					): i for i in range(self.vocab_size					)}
            vocab.update(self.added_tokens_encoder					)
            return vocab





      def        _snake_case     (			self ,		lowercase					)						->	List[str]:
            return self.sp_model.encode(lowercase ,		out_type=lowercase					)





      def        _snake_case     (			self ,		lowercase					)						->	List[str]:
            if token in self.fairseq_tokens_to_ids:
                  return self.fairseq_tokens_to_ids[token]
            elif self.sp_model.PieceToId(lowercase					) == 0:
                  # Convert sentence piece unk token to fairseq unk token index
                  return self.unk_token_id
            return self.fairseq_offset + self.sp_model.PieceToId(lowercase					)





      def        _snake_case     (			self ,		lowercase					)						->	str:
            if index in self.fairseq_ids_to_tokens:
                  return self.fairseq_ids_to_tokens[index]
            return self.sp_model.IdToPiece(index - self.fairseq_offset					)





      def        _snake_case     (			self ,		lowercase					)						->	List[str]:
            lowerCAmelCase    		=			[]
            lowerCAmelCase    		=			""""""
            lowerCAmelCase    		=			False
            for token in tokens:
                  # make sure that special tokens are not decoded using sentencepiece model
                  if token in self.all_special_tokens:
                        if not prev_is_special:
                              out_string += " "
                        out_string += self.sp_model.decode(lowercase					) + token
                        lowerCAmelCase    		=			True
                        lowerCAmelCase    		=			[]
                  else:
                        current_sub_tokens.append(lowercase					)
                        lowerCAmelCase    		=			False
            out_string += self.sp_model.decode(lowercase					)
            return out_string.strip()





      def __getstate__(			self					)						->	int:
            lowerCAmelCase    		=			self.__dict__.copy()
            lowerCAmelCase    		=			None
            return state





      def __setstate__(			self ,		lowercase					)						->	Dict:
            lowerCAmelCase    		=			d

            # for backward compatibility
            if not hasattr(self ,		"""sp_model_kwargs"""					):
                  lowerCAmelCase    		=			{}

            lowerCAmelCase    		=			spm.SentencePieceProcessor(**self.sp_model_kwargs					)
            self.sp_model.Load(self.vocab_file					)





      def        _snake_case     (			self ,		lowercase ,		lowercase = None					)						->	Tuple[str]:
            if not os.path.isdir(lowercase					):
                  logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
                  return
            lowerCAmelCase    		=			os.path.join(
                lowercase ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)

            if os.path.abspath(self.vocab_file					) != os.path.abspath(lowercase					) and os.path.isfile(self.vocab_file					):
                  copyfile(self.vocab_file ,		lowercase					)
            elif not os.path.isfile(self.vocab_file					):
                  with open(lowercase ,		"""wb"""					) as fi:
                        lowerCAmelCase    		=			self.sp_model.serialized_model_proto()
                        fi.write(lowercase					)

            return (out_vocab_file,)













"""simple docstring"""





import logging
import os

from .state import PartialState

class 						lowercase   (   logging.LoggerAdapter   ):





      @staticmethod
      def        _snake_case     (			lowercase					)						->	Optional[Any]:
            lowerCAmelCase    		=			PartialState()
            return not main_process_only or (main_process_only and state.is_main_process)





      def        _snake_case     (			self ,		lowercase ,		lowercase ,		*lowercase ,		**lowercase					)						->	Dict:
            if PartialState._shared_state == {}:
                  raise RuntimeError(
                      """You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility."""					)
            lowerCAmelCase    		=			kwargs.pop("""main_process_only""" ,		lowercase					)
            lowerCAmelCase    		=			kwargs.pop("""in_order""" ,		lowercase					)

            if self.isEnabledFor(lowercase					):
                  if self._should_log(lowercase					):
                        lowerCAmelCase		,						lowerCAmelCase    		=			self.process(lowercase ,		lowercase					)
                        self.logger.log(lowercase ,		lowercase ,		*lowercase ,		**lowercase					)

                  elif in_order:
                        lowerCAmelCase    		=			PartialState()
                        for i in range(state.num_processes					):
                              if i == state.process_index:
                                    lowerCAmelCase		,						lowerCAmelCase    		=			self.process(lowercase ,		lowercase					)
                                    self.logger.log(lowercase ,		lowercase ,		*lowercase ,		**lowercase					)
                              state.wait_for_everyone()







def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		str				,		SCREAMING_SNAKE_CASE	:		str = None     ):







      '''simple docstring'''




      if log_level is None:
            lowerCAmelCase    		=			os.environ.get("""ACCELERATE_LOG_LEVEL"""				,		SCREAMING_SNAKE_CASE     )
      lowerCAmelCase    		=			logging.getLogger(SCREAMING_SNAKE_CASE     )
      if log_level is not None:
            logger.setLevel(log_level.upper()     )
            logger.root.setLevel(log_level.upper()     )
      return MultiProcessAdapter(SCREAMING_SNAKE_CASE				,		{}     )






